Exploring Vulnerabilities in Spiking Neural Networks: Direct Adversarial Attacks on Raw Event Data

Yanmeng Yao, Xiaohan Zhao, Bin Gu
2/14/2026

No official code found. Best implementation: JY-ura/GumbelSoftmaxAttack (7 stars, last commit 2025-04-30).

DOISemantic Scholar

Code Implementations(1)

JY-ura/GumbelSoftmaxAttackCommunity68%

This is the responsory for the paper "Exploring Vulnerabilities in Spiking Neural Networks: Direct Adversarial Attacks on Raw Event Data".

70PythonJul 11, 20241 years ago

Similar Papers

Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework

91% match1 repo62026

Enforcing Constraints in RNA Secondary Structure Predictions: A Post-Processing Framework Based on the Assignment Problem

90% match2026

QASA: Advanced Question Answering on Scientific Articles

90% match2026

An Engorgio Prompt Makes Large Language Model Babble on

89% match2026

Structure Is All You Need: Structural Representation Learning on Hyper-Relational Knowledge Graphs

88% match2026

Interpretable Sparse System Identification: Beyond Recent Deep Learning Techniques on Time-Series Prediction

87% match2026

Cite this paper

@article{yao2026exploring,
  title  = {Exploring Vulnerabilities in Spiking Neural Networks: Direct Adversarial Attacks on Raw Event Data},
  author = {Yanmeng Yao and Xiaohan Zhao and Bin Gu},
  year   = {2026},
  doi    = {10.1007/978-3-031-73220-1_24},
  url    = {https://doi.org/10.1007/978-3-031-73220-1_24},
  journal = {ECCV 2024 2024}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2d82c48ea47c417241511c6a93b4f680cbb006c6.svg)](https://codeofpaper.com/paper/2d82c48ea47c417241511c6a93b4f680cbb006c6)

Discussion